Experimental Analysis and Modeling of MRR in Electrical Discharge Machining

Ranganath M. S.; Vipin; Manoj Kumar Singh; Jitender Kumar

doi:https://doi.org/10.51976/ijari.231423

Submit Manuscript Login / Register Subscribe

Home Page

Editorial Advisory Board

Mission, Aims & Scope

Current Issue

Experimental Analysis and Modeling of MRR in Electrical Discharge Machining

Ranganath M. S., Vipin , Manoj Kumar Singh, Jitender Kumar

Vol 2 , Issue 3 , July - September 2014 | Pages: 154-159 | Research Paper

https://doi.org/10.51976/ijari.231423

Received: July 25, 2014 | Revised: August 10, 2014 | Accepted: August 20, 2014 | Published Online: September 15, 2014

Author Details ( * ) denotes Corresponding author

1. * Ranganath M. S., Department of Production and Industrial Engineering, Delhi Technological University, New Delhi, Delhi, India (ranganathdce@gmail.com)

2. Vipin Department of Production and Industrial Engineering, Delhi Technological University, New Delhi, Delhi, India

3. Manoj Kumar Singh, Department of Mechanical Engineering, Kasturba Polytechnic, New Delhi, Delhi, India

4. Jitender Kumar, Department of Electrical Engineering, IMSEC, Ghaziabad, Uttar Pradesh, India

The selection of machining parameters is one of the most important aspects in the electrical discharge machining operation as these conditions has important effect on material removal rate (MRR). In this paper the experiments were conducted on the machining of EN 31 die steel with graphite electrode with electrical discharge machining (EDM). The EDM oil commercial grade has been used as dielectric fluid. The effect of various EDM parameters such as discharge current, Ton and Toff has been investigated to yield the response in terms of MRR. In this work mathematical models have been developed for relating the MRR with machining parameters like discharge current, Ton, and Toff. The optimum value has been determined with the help of main effect plot and ANOVA table.

Keywords

Electrical Discharge Machining (EDM); Mathematical Modeling; Material Removal Rate (MRR); ANOVA; EN 31die Steel; Griphite Electrode

A Medfai, M. Boujelbene, E. Bayraktar, A mathematical model to choose effective cutting parameters in electro-erosion, EDM, Journal of Achievements in Materials and Manufacturing Engineering, 47(1), 2003, 97-102

M. Boujelbene, E. Bayraktar, W. Tebni, S. B. Salem, Influence of machining parameters on the surface integrity in electrical discharge machining, Archive of Materials science and Engineering, 37(2), 2009, 110-116

A. K. M. A. Iqbal, A. A. Khan, Influence of Process Parameters on Electrical Discharge Machined Job Surface Integrity, American J. of Engineering and Applied Sciences, 3(2), 2010, 396-402

A. K. Khanra, L.C. Pathak, M. M. Godkhindi, Microanalysis of debris formed during electrical discharge machining (EDM), Journal of Materials Science, 42, 2007, 872-877

H. T. Lee, T. Y. Tai, Relationship between EDM parameters and surface crack formation, Journal of Materials Processing Technology, 142, 2003, 676-683

C. J. Luis, I. Puertas, G. Villa, Material removal rate and electrode wear study on EDM of silicon carbide, J Mater Process Technol, 164/165, 2005, 889-896

M. Kunieda, B. Lauwers, K. P. Rajurkar, B. M. Schumacher, Advancing EDM through Fundamental Insight into the Process, 2006

M. Mahardika, K. Mitsui, A new method for monitoring microelectric discharge machining processes, International Journal of Machine Tools and Manufacture, 48, 2008, 446–458

R. A. Mahdavinejad, EDM process optimisation via predicting a controller model, Archives of computational materials science and surface engineering, 1(3), 2009, 161-167

M. K. Pradhan, C. K. Biswas, Modelling of achieving parameters for MRR in EDM using response surface methodology, National Conference on Mechanism Science and Technology, 13-14, 2008, 535-542

H. S. Payal, Analysis of electrical discharge machined surfaces of EN-31 tool steel, Journal of scientific and industrial research, 67, 2008, 1072-1077

G. P. Petropoulos, Multi-parameter analysis and modeling of engineering surface texture, Journal of Achievements in Materials and Manufacturing Engineering, 24, 2007, 91-100

I. Puertas, C. J. Luis, A study on the machining parameters optimisation of electrical discharge machining, Journal of Materials Processing Technology, 143–144, 2003, 521–526

R. Choudhary, H Kumar, R K Garg, Analysis and evaluation of heat affected zones in electric discharge machining of EN-31 die steel, Indian Journal of Engineering & Materials Sciences, 17, 2010, 91-98

Ranganath M. S., Vipin, Experimental Investigation and Parametric Analysis of Surface Roughness in CNC Turning Using Design of Experiment” International Journal of Modern Engineering Research, 4(9), 2014

Ranganath M S, Vipin, Harshit, Surface Finish Monitoring in CNC Turning Using Response Surface Methodology: A Review, International Journal of Emerging Technology and Advanced Engineering, , 4(10), 2014

Ranganath M S, Vipin, Nand Kumar, R. Srivastava, Surface Finish Monitoring in CNC Turning Using RSM and Taguchi Techniques, International Journal of Emerging Technology and Advanced Engineering, 4(9), 2014, 171-179

S. S. Baraskar, S. S. Banwait, S. C. Laroiya, Mathematical Modeling of Electrical Discharge Machining Process through Response Surface Methodology, International Journal of Scientific & Engineering Research, 2(11), , 2011, 1-10

Vipin, B.B Arora, J. Kumar, Analysis of Metal Removal Rate in EDM Process, International Journal of Engineering and Manufacturing Science, 1(3), 2010, 101-107

Vipin, H. Kumar, Surface Roughness Prediction Model by Design of Experiments For Turning Leaded Gun Metal, International Journal of Applied Engineering Research, 4(12), 2009, 2621–2628